170 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "J" positions at Technical University of Denmark
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, the candidate should have solid programming skills (e.g. Python, Julia) and an excellent command of English. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level
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of Danish or a willingness to learn. A strong independent working style and the ability to plan and execute complex tasks effectively. A passion for knowledge transfer and the ability to document and share
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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Prof. Henning Friis Poulsen, DTU Physics and Prof
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of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a
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information may be obtained from Professor and Head of Research Group, Frank Aarestrup on fmaa@food.dtu.dk or Associate Professor, Philip Thomas Conradsen Clausen plan@food.dtu.dk Read more about the DTU
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materials, catalysis and/or surface science. For Topic 4, candidates must have documented skills within computational modelling of atomistic processes. Experience in scientific programming, e.g. using Python
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with modeling thermoelectrics, heat transfer and electrical systems. Experience with writing and publishing scientific articles. Ability to work independently, to plan and carry out complicated tasks
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criteria: Knowledge in plasma physics, tomography and inverse problems, or computational physics, or preferably several of these fields Knowledge of programming Communication skills You must have a two-year
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governed by elastic instabilities. This project aims to elucidate this connection through carefully designed experiments on programmed microstructures, synthesized by additive manufacturing, and the
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are to: Build a value chain decision-making tool based on mixed-integer linear programming Develop sensitivity and uncertainty assessment algorithms to assess various scenarios in a biofuel value chain Support